{"id":"W4213251441","doi":"10.1101/2022.02.20.481219","title":"Acute thermal stress elicits interactions between gene expression and alternative splicing in a fish of conservation concern","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Windsor; University of Manitoba","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Alternative splicing; Biology; Transcriptome; RNA splicing; Gene expression; Cellular stress response; Gene; Regulation of gene expression; Genetics; Context (archaeology); Computational biology; Messenger RNA; Fight-or-flight response; RNA","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355227,0.0001590917,0.0002501433,0.0002550259,0.0003066387,0.0002249796,0.0001250619,0.0002438017,0.001187577],"category_scores_gemma":[0.0001397962,0.0001748485,0.0002797081,0.000195225,0.0003405435,0.0001377864,0.0002748847,0.0003148213,0.0001335302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876621,"about_ca_system_score_gemma":0.0002009831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002610917,"about_ca_topic_score_gemma":0.004993783,"domain_scores_codex":[0.9998794,0.00001468086,0.000008726754,0.00004451873,0.00002292277,0.00002986214],"domain_scores_gemma":[0.9998719,0.00002354077,0.00004151792,0.000009781819,0.00002414208,0.00002913769],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002395652,0.00003030105,0.008337858,0.00002712778,0.00001059233,0.00006246619,0.0000985325,0.00003858632,0.990507,0.00001692385,0.00002797828,0.0006029947],"study_design_scores_gemma":[0.00001802542,0.001154155,0.8625932,0.00001125378,0.00004719593,0.0002732584,0.0009717917,0.001229645,0.1327965,0.0001040666,0.0007743484,0.00002655652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994991,0.00005350136,0.0001567282,0.0000239588,0.000003781747,0.000005072211,0.0001110671,0.000003684278,0.0001429222],"genre_scores_gemma":[0.9980662,0.00006052226,0.0005624577,0.00007174178,0.000004513985,0.00002821012,0.000305405,0.000005635774,0.0008953285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002610917,"threshold_uncertainty_score":0.005191445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686541829866828,"score_gpt":0.2477068304165965,"score_spread":0.2208414121179282,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}